Triple
T13345456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Segrià |
E317936
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Torres de Segre
Torres de Segre is a municipality in the comarca of Segrià in the province of Lleida, Catalonia, Spain.
|
E1035324
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Torres de Segre | Statement: [Segrià, hasMunicipality, Torres de Segre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torres de Segre Context triple: [Segrià, hasMunicipality, Torres de Segre]
-
A.
Gran Tarajal
Gran Tarajal is a coastal town and important fishing and commercial port on the island of Fuerteventura in Spain’s Canary Islands.
-
B.
Torres de Serranos
Torres de Serranos is a large medieval gate and one of the best-preserved remnants of Valencia’s old city walls, serving today as an iconic symbol of the city.
-
C.
Ronda de Dalt
Ronda de Dalt is a major ring road in the Barcelona metropolitan area that helps divert and distribute traffic around the city.
-
D.
Garraf
Garraf is a coastal comarca in Catalonia, Spain, known for its Mediterranean landscapes, natural park, and seaside towns such as Sitges and Vilanova i la Geltrú.
-
E.
La Massana
La Massana is a parish in northwestern Andorra known for its mountainous landscape, ski resorts, and outdoor tourism.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Torres de Segre Triple: [Segrià, hasMunicipality, Torres de Segre]
Generated description
Torres de Segre is a municipality in the comarca of Segrià in the province of Lleida, Catalonia, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Torres de Segre Target entity description: Torres de Segre is a municipality in the comarca of Segrià in the province of Lleida, Catalonia, Spain.
-
A.
Gran Tarajal
Gran Tarajal is a coastal town and important fishing and commercial port on the island of Fuerteventura in Spain’s Canary Islands.
-
B.
Torres de Serranos
Torres de Serranos is a large medieval gate and one of the best-preserved remnants of Valencia’s old city walls, serving today as an iconic symbol of the city.
-
C.
Ronda de Dalt
Ronda de Dalt is a major ring road in the Barcelona metropolitan area that helps divert and distribute traffic around the city.
-
D.
Garraf
Garraf is a coastal comarca in Catalonia, Spain, known for its Mediterranean landscapes, natural park, and seaside towns such as Sitges and Vilanova i la Geltrú.
-
E.
La Massana
La Massana is a parish in northwestern Andorra known for its mountainous landscape, ski resorts, and outdoor tourism.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e89c65c819093f3bea11d6073c5 |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f439b3c8190b35fd4d097d65068 |
completed | May 3, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69f7204ac36c8190a04e921442489e9c |
completed | May 3, 2026, 10:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7221af9e881908b65ab2e7aec0c78 |
completed | May 3, 2026, 10:23 a.m. |
Created at: April 9, 2026, 9:31 p.m.